The problem Avatar Unlocking : Insight Into HDI solves

The Human Development Index (HDI) was developed to underline that people's skills, not just economic growth, should be the deciding factor in determining a nation's level of development. The HDI can also be used to analyze the effectiveness of national policies by comparing the levels of human development in two countries with comparable GNI per capita. These disparities might spark discussion on the top goals for governmental policy.
We draw the conclusion that the nation that prioritized healthcare and education has shown higher annual income by showing the statistics using a variety of techniques applied to the dataset. For instance countries such as Switzerland, Norway, and Australia have high gdi mainly due to a rise in life expectancy and a rebound of income per capita, following the end of all Covid-19 restrictions in the country. Whreas countries such as Sudan have low HDI indexes, In terms of annual HDI gains, Sudan still ranked behind war-torn countries such as Afghanistan, Liberia, Mali, and the Democratic Republic of Congo (DRC), which have all made significant recent progress in school attendance, life expectancy and per capita income growth, despite being at the bottom end of the overall index scale.
Some of the steps that could be taken to enhance the ranking after analysis are as follows:

1. It is important to achieve universal access to health and education. Without any delays, the national policy should be put into practice, and the quality and dropout rates in public schools should be monitored.
2. Regional differences in development and social indicators, such as infant mortality, literacy, etc., should be reduced. States that are falling behind should encourage investment, especially in industries with high employment rates.
   3)You should also look into the gender pay gap in the workplace. Workplaces need to be made more gender inclusive, along with changing how families view working women and encouraging spouses to help out around the house.

Challenges we ran into

Initially, we encountered an inconsistent dataset that we were able to resolve by finding the average and utilising the elimination procedure. The major hurdle we encountered during the project's development was colour coding the various countries according to their hdi index. By manually writing down each colour for different nations, we were able to solve the problem. It was a stressful experience, but with amazing teammates and coffee( little more than usual inserting goofy smile ), we were able to get through it without any problems.